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Pre-Training Physics-Informed Neural Network with Mixed Sampling and Its Application in High-Dimensional Systems

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Journal of Systems science & Complexity 2024年第2期37卷 494-510页

作者： liu Haiyi ZHANG Yabin wang lei school of Mathematics and Physics North China Electric Power UniversityBeijing 102206China school of Control and computer Engineering North China Electric Power UniversityBeijing 102206China

Recently,the physics-informed neural network shows remarkable ability in the context of solving the low-dimensional nonlinear partial differential ***,for some cases of high-dimensional systems,such technique may be time-consuming and *** this paper,the authors put forward a pre-training physics-informed neural network with mixed sampling(pPINN)to address these *** based on the initial and boundary conditions,the authors design the pre-training stage to filter out the set of the misfitting points,which is regarded as part of the training points in the next *** authors further take the parameters of the neural network in Stage 1 as the initialization in Stage *** advantage of the proposed approach is that it takes less time to transfer the valuable information from the first stage to the second one to improve the calculation accuracy,especially for the high-dimensional *** verify the performance of the pPINN algorithm,the authors first focus on the growing-and-decaying mode of line rogue wave in the Davey-Stewartson I *** case is the accelerated motion of lump in the inhomogeneous Kadomtsev-Petviashvili equation,which admits a more complex evolution than the uniform *** exact solution provides a perfect sample for data experiments,and can also be used as a reference frame to identify the performance of the *** experiments confirm that the pPINN algorithm can improve the prediction accuracy and training efficiency well,and reduce the training time to a large extent for simulating nonlinear waves of high-dimensional equations.

关键词： High-dimensional systems mixed sampling nonlinear wave pre-training physics-informed neural network

Proactive Caching at the Wireless Edge:A Novel Predictive User Popularity-Aware Approach

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computer Modeling in Engineering & sciences 2024年第8期140卷 1997-2017页

作者： Yunye Wan Peng Chen Yunni Xia Yong Ma Dongge Zhu Xu wang Hui liu Weiling Li Xianhua Niu lei Xu Yumin Dong College of computer science Chongqing UniversityChongqing400044China school of computer and Software Engineering Xihua UniversityChengdu610039China school of computer and Information Engineering Jiangxi Normal UniversityNanchang330022China electric power Research Institute of State Grid Ningxia electric power Co. Ltd.Yinchuan750002China College of Mechanical and Vehicle Engineering Chongqing UniversityChongqing400030China school of computer science and technology Beijing Institute of TechnologyBeijing100083China school of computer science and technology Dongguan University of TechnologyDongguan523808China school of Emergency Management Xihua UniversityChengdu610039China College of computer and Information science Chongqing Normal UniversityChongqing401331China

Mobile Edge Computing(MEC)is a promising technology that provides on-demand computing and efficient storage services as close to end users as *** an MEC environment,servers are deployed closer to mobile terminals to exploit storage infrastructure,improve content delivery efficiency,and enhance user ***,due to the limited capacity of edge servers,it remains a significant challenge to meet the changing,time-varying,and customized needs for highly diversified content of ***,techniques for caching content at the edge are becoming popular for addressing the above *** is capable of filling the communication gap between the users and content providers while relieving pressure on remote cloud ***,existing static caching strategies are still inefficient in handling the dynamics of the time-varying popularity of content and meeting users’demands for highly diversified entity *** address this challenge,we introduce a novel method for content caching over MEC,i.e.,*** synthesizes a content popularity prediction model,which takes users’stay time and their request traces as inputs,and a deep reinforcement learning model for yielding dynamic caching *** results demonstrate that PRIME,when tested upon the MovieLens 1M dataset for user request patterns and the Shanghai Telecom dataset for user mobility,outperforms its peers in terms of cache hit rates,transmission latency,and system cost.

关键词： Mobile edge computing content caching system average cost deep reinforcement learning collaborative mechanism

Performance Design of High-Temperature Chloride Salts as Thermal Energy Storage Material

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Journal of Thermal science 2024年第2期33卷 479-490页

作者： ZHAO Le wang Jingyao CUI liu LI Baorang DU Xiaoze WU Hongwei Key Laboratory of power Station Energy Transfer Conversion and System(north china electric power university) Ministry of EducationBeijing102206China school of Energy and power Engineering Lanzhou University of TechnologyLanzhou730050China school of Physics Engineering and Computer ScienceUniversity of HertfordshireHatfieldAL109ABUK

The chloride salts have great potential used as high-temperature thermal energy storage(TES) medium for the concentrated solar power *** this study,LiCl,KCl and CaCl_(2) were selected as energy storage materials in order to further broaden the working temperature of ternary chloride salt and improve its energy storage *** new high-temperature energy storage ternary chloride composed of LiCl,KCl,and CaCl_(2) was developed based on the phase diagram generated by *** components of LiCl-KCl-CaCl_(2) with the mass ratio of 37.85%-53.38%-8.77%,30.90%-13.82%-55.28% and 1.78%-18.61%-79.61% were developed,of which the corresponding melting temperature(T_(m)) 340.93,433.57 and 626.85℃,respectively,was obtained *** that T_(m) of the third group of salts was too high,only the first two groups of salts were *** test showed that the actual melting point was only 0.46% and 1.64% different from the melting point predicted by *** thermal properties of the two ternary chloride salts were also *** solid and liquid-specific heat of ternary salts was determined by DSC using sapphire as the standard *** vapor pressure and decomposition temperature of ternary chloride salts were *** results showed that the vapor pressure of salt 1 was almost constant below 650℃ by ***,the TG results showed that the upper working temperature of salt 1 was 650℃ under the air *** addition,the ternary chloride salts after short-term cycling still exhibited excellent thermal properties,which revealed that these good thermal properties make them have broad application prospects in high-temperature thermal energy storage systems.

关键词： chloride salts thermal energy storages thermal properties thermal stability

基于k-trajectory算法的电力线巡检机器人的轨迹平滑方法

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系统仿真学报 2009年第12期21卷 3698-3700页

作者：柳长安刘伟刘春阳华北电力大学计算机科学与技术学院北京102206

研究了一种电力线路巡检飞行机器人轨迹平滑的方法。首先,利用坐标变换将机器人在三维空间中的运动映射到二维平面上;其次,在符合飞行机器人动力学规律的基础上,阐述了在k-trajectory算法基础上进行轨迹平滑的方法,分析了三种情况下机... 详细信息

研究了一种电力线路巡检飞行机器人轨迹平滑的方法。首先,利用坐标变换将机器人在三维空间中的运动映射到二维平面上;其次,在符合飞行机器人动力学规律的基础上,阐述了在k-trajectory算法基础上进行轨迹平滑的方法,分析了三种情况下机器人的飞行轨迹;最后,通过计算机仿真实验证明了该方法的正确性和有效性。

关键词：电力线路巡检飞行机器人轨迹平滑 k-trajectory算法计算机仿真

Multi-Scale Fusion Model Based on Gated Recurrent Unit for Enhancing Prediction Accuracy of State-of-Charge in Battery Energy Storage Systems

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Journal of Modern power Systems and Clean Energy 2024年第2期12卷 405-414页

作者： Hao liu Fengwei Liang Tianyu Hu Jichao Hong Huimin Ma school of computer and Communication Engineering University of Science and Technology BeijingBeijingChina school of Mechanical Engineering University of Science and Technology BeijingBeijingChina IEEE

Accurate prediction of the state-of-charge(SOC)of battery energy storage system(BESS)is critical for its safety and lifespan in electric *** overcome the imbalance of existing methods between multi-scale feature fusion and global feature extraction,this paper introduces a novel multi-scale fusion(MSF)model based on gated recurrent unit(GRU),which is specifically designed for complex multi-step SOC prediction in practical *** correlation analysis is first employed to identify SOC-related *** parameters are then input into a multi-layer GRU for point-wise feature ***,the parameters undergo patching before entering a dual-stage multi-layer GRU,thus enabling the model to capture nuanced information across varying time ***,by means of adaptive weight fusion and a fully connected network,multi-step SOC predictions are *** extensive validation over multiple days,it is illustrated that the proposed model achieves an absolute error of less than 1.5%in real-time SOC prediction.

关键词： electric vehicle battery energy storage system(BESS) state-of-charge(SOC)prediction gated recurrent unit(GRU) multi-scale fusion(MSF).

Neural Network Modeling of a Doubly Fed Induction Generator Wind Turbine System

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Dynamic Modeling of Key Operating Parameters for Supercritical Circulating Fluidized Bed Units based on Data-Knowledge-Driven Method

第三十一届中国控制会议

作者： LIN wang XIAOBING Kong XIANGJIE liu school of Control and computer engineering north china electric power university beijing P.R.china 102206

＜正＞A wind power plant is an energy conversion system consisting of wind turbine,rotor,gear and doubly-fed induction generator *** is a complex multivariable system associated with severe nonlinearity,uncertainties and multivariable *** many cases,it is almost impossible to build a mathematical model of the system using conventional analytic *** paper presents our recent work in modeling of a 1.5MW doubly-fed induction *** on-site measurement data,two different structures of neural networks are employed to model the doubly-fed induction *** method is compared with the typical recursive least squares（RLS） method,which obviously demonstrated the merit of efficiency of the neural networks in modeling of the 1.5MW doubly-fed induction generator.

关键词： Neural network modeling doubly-fed induction generator

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Journal of Thermal science 2024年第3期33卷 1216-1230页

作者： YU Haoyang GAO Mingming ZHANG Hongfu CHEN Jiyu liu Jizhen YUE Guangxi The State Key Laboratory of Alternate electrical power System with Renewable Energy Sources School of Control and Computer EngineeringNorth China Electric Power UniversityBeijing102206China CHN Energy New Energy technology Research Institute Co. Ltd.Beijing102209China Department of Energy and power Engineering Tsinghua UniversityBeijing100084China

To address the pressing need for intelligent and efficient control of circulating fluidized bed(CFB)units,it is crucial to develop a dynamic model for the key operating parameters of supercritical circulating fluidized bed(SCFB)***,data-knowledge-driven dynamic model of bed temperature,load,and main steam pressure of the SCFB unit has been ***,a knowledge-driven method is employed to develop a dynamic model for key operating parameters of SCFB *** model parameters are determined based on the operating data of the unit and continuously optimized in real ***,Bidirectional Long Short-Term Memory combined with Convolutional Neural Network and Attention Mechanism is utilized to build the dynamic model of bed temperature,load,and main steam ***,a collaboration and integration method based on the critic weight method and the variation coefficient method is proposed to establish data-knowledge-driven model of key operating parameters for SCFB *** model displays great accuracy and fitting ability compared with other methods and effectively captures the dynamic characteristics,which can provide a research basis for the design of intelligent flexible control mode of SCFB unit.

关键词： circulating fluidized bed dynamic model data-knowledge-driven method deep learning power plant

Model Reference Output Feedback Tracking Control Design for Switched Linear Systems with Time Delay

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Model Reference Output Feedback Tracking Control Design for ...

New Combination Strategy of Genetic and Tabu Algorithm An Economic Load Dispatching Case Study

2010 Chinese Control and Decision Conference

作者： Xiao-Bing Kong,Qing-Kui Li,Xiang-Jie liu,and Miao-Miao Ma school of Control science and computer Engineering north china electric power university beijing,102206,P.R.china

＜正＞Model reference output feedback tracking control design for switched linear systems with time-varying delay is investigated in this *** possibility of designing switching control law based on measured output instead of the state information is considered when the states are not *** dwell time method is utilized to the stability analysis and controller design for switched linear time-varying delay *** to existing results, the Variation-of-constants formula is *** introducing free weighting matrix scheme and choosing a reduced piecewise Lyapunov functional,the difficulties of the tracking control problem are decreased compare to existing results.

关键词： model reference tracking switched time-delay systems linear matrix inequality

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New Combination Strategy of Genetic and Tabu Algorithm An Ec...